一种簇首预测的无线传感器网络分簇路由算法

A Clustering Routing Algorithm for WSN of Cluster Head Prediction

针对分簇路由算法随机选举簇首导致节点能耗不均衡、网络生命周期短等问题，将无线传感器网络和人工神经网络中的分簇理论相结合，从而提出一种改进的分簇路由簇首选举算法——New-LEACH算法。该方法利用人工神经网络原理，结合GM预估模型来预测下轮有能力的备选簇首。仿真实验表明，该方法能够有效地节省网络节点能量，延长整个网络的生命周期。

Focusing on the random cluster head election in Wireless Sensor Network （WSN） clustering routing algorithm which leads to energy imbalance and shorten network＇s life cycle,We propse an improved algorithm which chooses the artificial neural network （ANN）, combined with the grey forecasting mode1 GM（1,1） to get the cluster head. The experimental results show that this method can effectively save the node＇s energy and prolong the life cycle of the whole networks.